The dark side of AI - How to manage the exponential increase in Cyber threats being driven by AI
ฝัง
- เผยแพร่เมื่อ 31 ต.ค. 2024
- The dark side of AI - How to manage the exponential increase in Cyber threats being driven by AI - Hosted by Clear and ZipTech
Attempted cyber-attacks are unfortunately becoming more frequent with over 50% of businesses receiving some cyber hacking attempts in the past twelve months*. What is not so widely known is the sophistication that cyber terrorists are going to, to obtain access to your firm’s data.
This free conference, presented by leading cybersecurity experts at Ziptech and Clear Insurance Management, will address some of the key issues around the increase in cyber threats driven by AI and will include:
Why AI is increasing the likelihood and severity of cyber threats - how cybercriminals and other bad actors are capitalising on it;
Examples of the threats and impacts that Ziptech services have seen as a consequence of AI;
What organisations should be doing to protect themselves against the significant increases in Cyber threats, in the context of;
Systems
Individuals
Customers
View of the Cyber insurance market and how claims trends and underwriter appetite is reflecting the increase in threat due to AI;
How the practical steps taken by organisations are viewed by insurers and how services and support can be complementary to cyber risk transfer;
Conclusions and Q&A
This session is aimed at anyone running or involved in a business who is interested in the threats posed by cyber terrorism.
Disclaimer
This presentation including answers given in any question and answer session and the accompanying paper are intended for general purposes only and should not be viewed as a comprehensive summary of the subject matter covered. Nothing said in this presentation or contained in the paper constitutes legal or other professional advice and no warranty is given nor liability accepted for the contents of the presentation or accompanying paper. ZipTech and LawSure will not accept responsibility for any loss suffered in consequence of reliance on information contained in the presentation or paper.